Designing Conjoint Choice Experiments Using Managers' Prior Beliefs
By Zsolt Sándor, M. Wedel. 2001
528 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/cf98f59691c4c80d87d8be5fccdb138f7a3d3da4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- John M. Rose
- Michiel C. J. Bliemer
- Riccardo Scarpa
- David A. Hensher
- Stephane Hess
- D. Campbell
- Jordan J. Louviere
- Peter Goos
In General Decision Sciences
- John M. Rose
- David A. Hensher
- Riccardo Scarpa
- Michiel C. J. Bliemer
- D. Campbell
- Stephane Hess
- Jordan J. Louviere
- Peter Goos
In Management Science and Operations Research
- John M. Rose
- Michiel C. J. Bliemer
- Peter Goos
- Riccardo Scarpa
- David A. Hensher
- Bradley A. Jones
- Jordan J. Louviere
- Roselinde Kessels
Citations in the corpus
- An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs (2009, methodology): “Until now, the D-optimality criterion has been most often employed to construct efficient choice designs (see Huber and Zwerina 1996; Sándor and Wedel 2001).”
- Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why* (2008, unknown): “In terms of assumptions our research is therefore more akin to research efforts by Sándor and Wedel (2001, 2002, 2005), Bliemer and Rose (2005), Bliemer et al .”
- Experimental design influences on stated choice outputs: An empirical study in air travel choice (2009, methodology): “…but not limited to work undertaken by Bliemer et al. (2009), Burgess and Street (2003), Ferrini and Scarpa (2006), Kanninen (2002), Kessels et al. (2006), Sándor and Wedel (2001, 2002, 2005), Rose and Bliemer (2008), Scarpa and Rose (2008), Street and Burgess (2004) and Toner et al. (1999).”
- Modeling the choices of individual decision-makers by combining efficient choice experiment designs with extra preference information (2008, background): “Various authors discussed the construction of Doptimal designs including El-Helbawy and Bradley (1978), van Berkum (1987), Kuhfeld et al. (1994), Bunch et al. (1996), Sandor and Wedel (2001), Kanninen (2002) and Burgess and Street (2005), among others.”
- Approximation of bayesian efficiency in experimental choice designs (2008, unknown): “More recently however, some researchers have begun to question the relevance of orthogonal designs when applied to SC experiments (e.g., Huber and Zwerina 1996; Kanninen 2002; Kessels et al. 2006; Sándor and Wedel 2001, 2002, 2005; Bliemer and Rose 2008; Rose et al. 2008; Bliemer et al. in press).”
- Working Paper: The Fragmentation of Cities and its Decline: Global Evidence of Sprawl, 1990-2000 (2009, unknown): “Several researchers have shown that non-orthogonal designs, typically termed efficient designs, may produce lower standard errors than orthogonal designs for a given sample size (see e.g., Bunch et al., 1994; Bliemer and Rose, 2006; Carlsson and Martinsson, 2003; Huber and Zwerina, 1996; Kanninen, 2”
- Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study (2007, methodology): “While [61] derive the b̂ and X̂ on the basis of managers’ expectations, we derived them from real data obtained from the pilot study preceding the field survey.”